摘要
本文对我国大坝变形资料分析中常用的逐步回归分析进行了探讨,指出这种方法通常所选的因子数偏少,其原因来自自变量之间的复共线性的影响。为了克服复共线性对因子筛选的影响,文中对因子筛选提出了若干有益的建议。
In this paper, the regression analysis, which is usually used in dam deformationanalysis is discussed. It is shown that the number of selected independent rariables is less thanit is real one,because of multi-collinearity between independent variables. In order to over-come effect by multi-collinearity, the author proposes some suggestions about independentvariables-snooping.
出处
《武汉测绘科技大学学报》
CSCD
1993年第1期20-26,共7页
Geomatics and Information Science of Wuhan University
关键词
大坝
变形分析
逐步回归
数据
dam
deformation analysis
regression analysis
independent variables-snooping
multi-collinearity
